GABRIEL CHAN HARVARD UNIVERSITY

GABRIEL CHAN
http://scholar.harvard.edu/gabechan
[email protected]
HARVARD UNIVERSITY
Placement Director: Rohini Pande
Placement Director: Matthew Baum
Graduate Administrator: Nicole Tateosian
Office Contact Information
John. F. Kennedy School of Government
124 Mt. Auburn, Suite 190, Room 103
79 John F. Kennedy Street
Cambridge, MA 02138
[email protected]
[email protected]
[email protected]
617-384-5267
617-495-1291
617-495-1190
Home Contact Information
7 Primus Ave., Unit 2
Boston, MA 02114
Phone: 415-533-6103
Personal Information: Date of birth: 8/3/1987, Sex: Male, Citizenship: U.S.
Undergraduate Studies:
B.S., Earth, Atmospheric and Planetary Science, Massachusetts Institute of Technology, 2009
B.S., Political Science, Massachusetts Institute of Technology, 2009
Minors: Economics, Mathematics
Graduate Studies:
John F. Kennedy School of Government , Harvard University, 2009 to present
Ph.D. Candidate in Public Policy
Dissertation Title: “Essays on Energy Technology Innovation Policy”
Expected Completion Date: May 2015
References:
Professor William Clark
79 JFK Street, Cambridge, MA 02138
617-495-3981, [email protected]
Professor Robert Stavins
79 JFK Street, Cambridge, MA 02138
617-495-1820, [email protected]
Professor Laura Díaz Anadón
Professor Joseph Aldy
79 JFK Street, Cambridge, MA 02138
79 JFK Street, Cambridge, MA 02138
617-384-7325, [email protected] 617-496-7213, [email protected]
Teaching and Research Fields:
Primary fields: Innovation policy, Energy and environmental economics, Policy analysis
Secondary fields: Econometrics, Applied statistics, Applied microeconomics
Teaching Experience:
2013 – 2014
API-202A/Z: Empirical Methods II – Advanced, Harvard Kennedy School,
TF for Professor Amitabh Chandra
2012 – 2013
API-201: Quantitative Analysis and Empirical Methods, Harvard Kennedy School,
TF for Professors John Friedman and Erich Muehlegger
2012 – 2013
Master in Public Policy Summer Math Camp, CA for Professor Selin Kalaycioglu
2012 – 2013
Harvard Bok Center for Teaching and Learning, Enrolled in two courses in
teaching skills development
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2011
Ec 1661: Fundamentals of Environmental Economics and Policy, Harvard
University, TF for Professor Robert Stavins
2010
IGA-503M: Governing Science & Technology Risks and Challenges, Harvard
Kennedy School, CA for Professor Matthew Bunn
Research Experience and Other Employment:
2011 – present Harvard Sustainability Science Program, Researcher for the Project on Innovation
and Access to Technologies for Sustainable Development
2011 – 2014
Intergovernmental Panel on Climate Change 5th Assessment Report, Chapter
Scientist and Contributing Author for Working Group III, “Chapter 13:
International Cooperation: Agreements and Instruments”
2009 – 2011
Harvard Belfer Center, RA for the Energy Research Development Deployment and
Demonstration Project. Principal Investigators: Professors Venkatesh Narayanmurti
and Matthew Bunn
2010
MIT Sloan School, RA for Professors Fiona Murray and Scott Sterm
2008 – 2010
MIT Joint Program on the Science and Policy of Global Change, RA for Dr. John
Reilly and Dr. Sergey Paltsev
2008 – 2009
MIT Department of Economics, RA to Professor Michael Greenstone
2007, 2009
U.S. Department of Energy, Intern in the Climate Change Technology Program for
Robert Marlay, Ph.D.
Professional Activities
Referee for Energy Economics and Cambridge University Press (book manuscript)
Scholarships and Fellowships:
2014 – present Dissertation Completion Fellowship, Harvard Graduate Society
2012 – present
Research fellow, Belfer Center Energy Technology Innovation Policy group
2009 – present
Pre-doctoral fellow, Harvard Environmental Economics Program
2011 – 2012
Pre-doctoral fellow, Harvard Sustainability Science Program
2010 – 2012
Harvard Graduate Consortium on Energy and the Environment Fellowship
2010 – 2011
Vicki-Norberg Bohm Fellowship, Harvard Kennedy School
2009 – 2011
Doctoral fellowship, Harvard Kennedy School
Publications:
Laura Díaz Anadón, Valentina Bosetti, Gabriel Chan, Gregory Nemet, and Elena Verdolini. 2014.
“Energy Technology Expert Elicitations for Policy: Workshops, Modeling, and Meta-Analysis.” In
revision at Risk Analysis.
Gireesh Shrimali, Gabriel Chan, Steffen Jenner, Felix Groba, and Joe Indvik. 2014. “Evaluating
Renewable Portfolio Standards for In-State Renewable Deployment: Accounting for Policy
Heterogeneity.” Accepted at Economics of Energy & Environmental Policy.
Laura Díaz Anadón, Gabriel Chan, and Audrey Lee. 2014. “Expanding, and Improving Targeting Of,
U.S. Investment in Energy Innovation: An Analytical Approach” in Transforming U.S. Energy
Innovation. Ed. Laura Díaz Anadón, Matthew Bunn, and Venkatesh Narayanamurti. Cambridge
University Press, Cambridge, U.K., and New York, NY, USA, pp. 36–80.
Gabriel Chan, John M. Reilly, Sergey Paltsev, and Y.-H. Henry Chen. 2012. “The Canadian Oil Sands
Industry Under Carbon Constraints.” Energy Policy 50: 540-550.
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Gabriel Chan, Robert Stavins, Robert Stowe, Richard Sweeney. 2012. “The SO2 Allowance-Trading
System and the Clean Air Act Amendments of 1990: Reflections on 20 Years of Policy Innovation.”
National Tax Journal 65 (2): 419-452.
Steffen Jenner, Gabriel Chan, Rolf Frankenberger and Mathias Gabel. 2012. “What Drives Sates to
Support Renewable Energy?” The Energy Journal 33: 1-12.
Gabriel Chan, Laura Díaz Anadón, Melissa Chan, and Audrey Lee. 2011. “Expert Elicitation of Cost,
Performance, and RD&D Budgets for Coal Power with CCS.” Energy Procedia 4: 2685-2692.
Graham Pugh, Leon Clarke, Robert Marlay, Page Kyle, Marshall Wise, Haewon McJeon, and Gabriel
Chan. 2011. “Energy R&D Portfolio Analysis Based on Climate Change Mitigation.” Energy
Economics 33: 634-643.
Research papers in progress:
Gabriel Chan. “Patent Licensing as a Mechanism for Technological Diffusion at the U.S. National
Labs” (Job Market Paper)
Under the 1980 Stevenson-Wydler Act, government research organizations are required to transfer publicly-funded
inventions to private firms. In the short-run, technology transfer benefits firms receiving new technologies, but to
what extent do these activities generate long-run public benefits? The answer depends crucially on the extent to
which technology transfer leads to knowledge diffusion more broadly. I quantify the effect of technology transfer
on knowledge diffusion in the context of patent licensing at the U.S. National Laboratories using data on over 800
licensed patents since 2000. I demonstrate that licensing increases the annual citation rate to a patent by
approximately 20-37%, beginning two years after a license agreement is executed. I also find that over 80% of
follow-on innovation after a patent is licensed occurs outside of the licensing firm, indicating that knowledge from
licensing diffuses broadly. These estimates rely on a novel matching algorithm based on statistical classification of
the text of patent abstracts. I explore possible mechanisms for the effect of licensing on knowledge diffusion by
examining the quality of patents that cite licensed patents and rule out the possibility of a strong strategic patenting
effect. In fact, I find that spillover inventions from licensed patents are more likely to be highly cited themselves.
These results demonstrate that transactions over formal intellectual property enhance the benefits of publicly
funded R&D in the “market for ideas.”
Gabriel Chan, Joern Huenteler, and Xi Lu. “Financing wind energy deployment in China through the
Clean Development Mechanism: Additionality and incentives for technological change”
In this paper we study the Kyoto Protocol’s Clean Development Mechanism using data on all Chinese wind energy
projects constructed through the end of 2012. Projects developed under the Clean Development Mechanism must
establish their additionality – that they would not have been constructed without additional financial support from
the Mechanism – and although additionality claims are verified by a third-party auditing board, calculations
depend on several untestable assumptions, such as the expected wind resource quality. In this paper, we evaluate
the claims of additionality of projects funded by the Clean Development Mechanism by calculating the internal
rate of return for every project utilizing a state-of-the-art methodology for estimating the distribution of wind
speeds at a fine geographic granularity. We find that over 50% of registered Clean Development Projects
understate their internal rate of return, suggesting strategic manipulation of project approval processes. These
results indicate that many Clean Development Mechanism projects are not “additional.” Nevertheless, we also find
that projects funded through the Clean Development Mechanism tend to utilize wind turbine models approximately
0.75 years more advanced than projects built without this funding.
Gabriel Chan and Laura Díaz Anadón. “Improving decision making for public R&D investments in
energy” (for submission to Management Science)
Public R&D decision making is an important public policy issue where traditional approaches often lead to
decisions supported by unsatisfying justifications and resulting in suboptimal outcomes. Available technical
expertise is rarely accounted for in public R&D decision making due to a lack of available methods and
institutional constraints. We propose four design principles for developing a sound and institutionally feasible
R&D decision-making process. We use these principles to better understand the shortcomings of current practice in
allocating U.S. federal energy R&D investments and to propose a method to support public R&D decisions. Our
application of the method utilizes inputs from an expert elicitation exercise that collected inputs from 100
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technology experts about the distribution of future performance and cost of energy technologies in 6 areas
conditional on several levels of public R&D investment. The results of this exercise parameterize a bottom-up
energy system model of the U.S. economy, which we use in a sampling and optimization framework to generate
decision-relevant R&D portfolio allocations. Our results indicate: (1) while marginal returns to R&D investment
decrease, a 10-fold expansion from 2012 levels in the R&D budget for utility-scale energy storage, bioenergy,
advanced vehicles, fossil energy, nuclear energy, and solar photovoltaic technologies can be justified by expected
returns to economic surplus; (2) the greatest economic returns to public R&D investment are in energy storage,
solar photovoltaics, and bioenergy; and (3) at the current budget level, the allocation of energy R&D funds is very
different from the optimum.
Laura Díaz Anadón, Kira Matus, Suerie Moon, Gabriel Chan, Alicia Harley, and Sharmila Murthy,
Ahmed Abdel Latif, Kathleen Araujo, Kayje Booker, Hyundo Choi, Kristian Dubrawski, Lonia
Friedlander, Christina Ingersoll, Erin Kempster, Laura Pereira, Jennie Stephens, Vanessa Timmer, Lee
Vinsel, and William C. Clark. “Innovation and Access to Technologies for Sustainable Development:
Diagnosing Weaknesses and Identifying Interventions in the Transnational Arena” (available as Harvard
Sustainability Science Working Paper 2014-01)
Sustainable development – improving human well-being across present generations without compromising the
ability of future generations to meet their own needs – is a central challenge for the 21st century. Technological
innovation can play an important role in moving society toward sustainable development. However, poor,
marginalized, and future populations often do not fully benefit from innovation due to their lack of market or
political power to influence innovation processes. As a result, current innovation systems fail to contribute as much
as they might to meeting sustainable development goals. This paper focuses on how actors and institutions
operating in the transnational arena can mitigate such shortfalls.
Gabriel Chan, Laura Díaz Anadón, Kira Matus, Suerie Moon, Alicia Harley, and Sharmila Murthy. “A
Framework for Analyzing a Goal-Oriented Innovation System” (for submission to Research Policy)
The set of technologies, actors, and institutions engaged in innovation form a complex system that makes empirical
evaluation of individual components of the innovation system difficult. In this paper, we propose a comprehensive
general framework of an innovation system that can be applied to evaluate individual actors and institutions within
the system. We describe the system in terms of stocks (knowledge, inventions, feasible technologies, technologies
in limited production/use and technologies in widespread production/use) and flows (invention, selection, initial
adoption, production, widespread use, adaptation, and retirement). The flows are substantiated by specific
mechanisms which operate non-linearly in the innovation system to connect stocks in various configurations. The
stocks consist of technologies, which we describe in terms of their socio-technical characteristics. We apply the
framework to develop generalized hypotheses about which socio-technical characteristics create the conditions
which enable a well-functioning innovation system. We then describe several case studies conducted as part of a
broader study to illustrate how this framework can generate insights about the performance of the global
innovation system in delivering the goals of sustainable development.
Robert Stavins, Zou Ji, and Gabriel Chan. “International Climate Policy, Agreements, and Institutions:
A Review and Synthesis.”
Conferences and Invited Seminars:
2014: Lawrence Berkeley National Laboratory, Harvard Kennedy School Energy Policy Seminar
(planned), Technology Transfer Society Conference (planned), INFORMS Annual Meeting
(planned), Harvard Business School Science Based Business Seminar (planned)
2013: Harvard Kennedy School Energy Policy Seminar, Harvard Business School Science Based
Business Seminar, Atlanta Conference on Science and Innovation Policy, NC State University
Camp Resources
2012: International Conference on Science and Technology Indicators, Climate Change Impacts and
Integrated Assessment Workshop XVIII
2011: International Energy Workshop
2010: Pacific Northwest National Laboratory, World Student Environmental Summit (keynote),
International Conference on Greenhouse Gas Technologies, National Renewable Energy
Laboratory
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2009: U.S. Department of Energy
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